Kelvin Paschal
@kelvinpaschal.com
PhD candidate @UNC-CH. Interested in Software, Automation, AI/ML, Computational Chemistry, Optimization, Self-driving Labs, Stories and Societal Discourse.
🌐: kelvinpaschal.com
🌐: kelvinpaschal.com
My research, "Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors", has been published! Read it here: doi.org/10.1002/bit....
Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors
Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification ...
doi.org
January 30, 2026 at 6:31 PM
My research, "Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors", has been published! Read it here: doi.org/10.1002/bit....
Some thoughts on Goodhart's Law and systems.
kelvinpaschal.com/blog/goodhar...
kelvinpaschal.com/blog/goodhar...
Goodhart's Law and Designing Good Systems
There's a saying that 'the purpose of a system is what it does.' While many people might agree with that statement, there are certain cases where we have desired outcomes, and it would be unwise to se...
kelvinpaschal.com
December 28, 2024 at 4:21 PM
Some thoughts on Goodhart's Law and systems.
kelvinpaschal.com/blog/goodhar...
kelvinpaschal.com/blog/goodhar...
@maggieappleton.com I would like to know your process for creating illustrations and also tools you use.
November 20, 2024 at 4:54 AM
@maggieappleton.com I would like to know your process for creating illustrations and also tools you use.
Reposted by Kelvin Paschal
I started Jeans Baudrillard's "Simulation and Simulacra" in 2020 and only made it halfway (tough read). I picked it up again and it reads even more interesting, now that I exist in a digital sphere filled with Gen AI content.
November 12, 2024 at 4:32 AM
I started Jeans Baudrillard's "Simulation and Simulacra" in 2020 and only made it halfway (tough read). I picked it up again and it reads even more interesting, now that I exist in a digital sphere filled with Gen AI content.